4.97(89 Ratings)

SHAP with Python

About Course

Learn to use SHAP to interpret machine learning models.

What I will learn?

  • Theory behind Shapley values
  • Calculating SHAP values
  • SHAP aggregations
  • Custom SHAP plots
  • Interactions values
  • Categorical target variables and features
  • SHAP for computer vision

Course Curriculum

Introduction

  • Course outline
  • Code and requirements
    00:00

Theory

Python Code

Additional Resources

Student Ratings & Reviews

5.0
Total 89 Ratings
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Thank you so much!
MA
1 month ago
It's a fantastic course in Shap!
TS
4 months ago
Very intuitive and well explained!
DD
5 months ago
I'm really enjoying learning about SHAP.

One of the best courses on SHAP on the web! It has helped me understand the subject. Thank you very much!
SH
6 months ago
Explainations were good. Solutions for challenges would have been helpful
AF
8 months ago
Great course!!
HT
8 months ago
Great course for SHAP!
HL
9 months ago
Before the course:
What are these coloured bars and how on earth do I interpret them
After the course:
Ahhhhhhhhhh! Finally... And it's not even that complicated ("game theory": they're just trying to scare you)
KK
9 months ago
Useful course!
HA
9 months ago
Excellent !
KJ
9 months ago
Great explanation for SHAP / XAI. Thank you.
YC
9 months ago
Very informative, thank you!
HR
9 months ago
A very useful course if you are interested in XAI
TJ
9 months ago
A very useful course if you are interested in XAI
SS
10 months ago
This course is really helpful to understand What Shap is and How helpful it can be in determining features that contribute in the prediction.
The course is short, simple and sorted. Well structured. Kudos to the Course Designer!
CE
10 months ago
Great!
AS
10 months ago
Easy step by step explanation. highly recommended!
YL
10 months ago
Very good explanation! It really helpful to understand.
JS
10 months ago
I just started and is a great way for learning this amazing topic, thank you and congrats for be careful creating this course.
XW
10 months ago
I think it's very useful!
$49.00

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